Ai-based predicate generation in mobile device management networks

A non-transitory computer-readable medium having encoded therein programming code executable by one or more processors to perform or control performance of operations of artificial intelligence (AI)-based predicate generation in a mobile device management (MDM) network implementing declarative device management (DDM), the operations comprising:

• receiving an input sufficient to identify one or more managed devices of the MDM network;
• causing display of an MDM predicate user interface that includes an activation field;
• receiving, in the activation field, user input that describes a desired MDM configuration at the identified managed devices, wherein the user input includes a natural language description;
• providing the user input to a custom AI model, wherein:
• the AI model is trained on supported attributes of a DDM system, the supported attributes including predicate language and syntax, DDM statuses, DDM status objects, DDM status object syntax, declarations, and DDM keys, and
• the custom AI model is configured to broadly interpret the natural language description to associate the natural language of the user input with a predicate that best reflects the desired MDM configuration and parameters of the identified managed devices;
• generating and returning the predicate that implements the desired MDM configuration at the identified managed devices as described in the activation field;
• and
• causing distribution of an approved predicate to the identified managed devices.